Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FBA37933411975274037C6D530A95B3BE2E68A8FFAA70A014EECD7FA1BFAC50745B11A |
|
CONTENT
ssdeep
|
1536:if9ULz4NP/y9svbliCdKll39Tu5FtWAuCa2nX2ZP4:if0mADll39TuQ4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c72b953af02cbc0e |
|
VISUAL
aHash
|
0000000000007fff |
|
VISUAL
dHash
|
48c8c0c8c8c4e198 |
|
VISUAL
wHash
|
003c70e0fc00ffff |
|
VISUAL
colorHash
|
31000c00000 |
|
VISUAL
cropResistant
|
0000000118588090,49c8c0c0c8c984e0 |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 54 techniques to evade detection by security scanners and make reverse engineering more difficult.